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A hybrid algorithm for dental artifact detection in large computed tomography datasets
2020-08-07
radiology and imaging
Title + abstract only
View on medRxiv
Show abstract
Computed tomography (CT) is one of the most common medical imaging modalities and the main technology used in radiomics research, the computational voxel-level analysis of medical images. Analysis of CT images is vulnerable to the effects of dental artifacts (DA) caused by metal implants or fillings. Running automated analysis pipelines with uncurated datasets can reduce performance and hamper future reproducibility on new datasets. This work introduces a new tool to detect the location and magn...
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